Diogo C. Soriano

Orcid: 0000-0002-9804-7477

Affiliations:
  • Federal University of ABC, Department of Engineering, Santo Andre, Brazil
  • University of Campinas, SP, Brazil (PhD 2011)


According to our database1, Diogo C. Soriano authored at least 22 papers between 2009 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Non-Invasive Characterization of Atrial Flutter Mechanisms Using Recurrence Quantification Analysis on the ECG: A Computational Study.
IEEE Trans. Biomed. Eng., 2021

Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2021

Can Dynamic Functional Connectivity Be Used to Distinguish Between Resting-State and Motor Imagery in EEG-BCIs?
Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020
Machine Learning to Find Areas of Rotors Sustaining Atrial Fibrillation From the ECG.
Proceedings of the Computing in Cardiology, 2020

Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020

Phase Singularities in a Cardiac Patch Model With a Non-conductive Fibrotic Area During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020

2019
Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces.
Medical Biol. Eng. Comput., 2019

Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Conditional Lyapunov exponents and transfer entropy in coupled bursting neurons under excitation and coupling mismatch.
Commun. Nonlinear Sci. Numer. Simul., 2018

Unsupervised k-Mean Classification of Atrial Electrograms From Human Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2018

2017
White Gaussian Chaos.
IEEE Commun. Lett., 2017

Deterministic Structures in Fractionated Atrial Electrograms During Human Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017

2016
Numerical characterization of nonlinear dynamical systems using parallel computing: The role of GPUs approach.
Commun. Nonlinear Sci. Numer. Simul., 2016

2015
Do chaos-based communication systems really transmit chaotic signals?
Signal Process., 2015

Comparative analysis of strategies for feature extraction and classification in SSVEP BCIs.
Biomed. Signal Process. Control., 2015

Effect of the combination of different numbers of flickering frequencies in an SSVEP-BCI for healthy volunteers and stroke patients.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

2012
Searching for Specific periodic and Chaotic oscillations in a periodically-excited Hodgkin-Huxley Model.
Int. J. Bifurc. Chaos, 2012

Performance analysis of nonlinear echo state network readouts in signal processing tasks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Unorganized Machines: From Turing's Ideas to Modern Connectionist Approaches.
Int. J. Nat. Comput. Res., 2011

Blind extraction of chaotic sources from mixtures with stochastic signals based on recurrence quantification analysis.
Digit. Signal Process., 2011

Denoising chaotic time series using an evolutionary state estimation approach.
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2011

2009
Blind Extraction of Chaotic Sources from White Gaussian Noise Based on a Measure of Determinism.
Proceedings of the Independent Component Analysis and Signal Separation, 2009


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